An extension of CatBoost to probabilistic modelling
Official Implementation for the "Conffusion: Confidence Intervals for Di...
Official implementation of "Evaluating Scalable Bayesian Deep Learning M...
[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking fo...
Official repository for the paper "Masksembles for Uncertainty Estimatio...
Sandia Uncertainty Quantification Toolkit
A Sensitivity and uncertainty analysis toolbox for Python based on the g...
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contr...
Code for paper "Exploration in Online Advertising Systems with Deep Unce...
Code for "Estimating and Evaluating Regression Predictive Uncertainty in...
This repository provides the code used to create the results presented i...
Image-to-image regression with uncertainty quantification in PyTorch. Ta...
Inferring distributions over depth from a single image, IROS 2019
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building...
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Pred...